Slam-based Reconstruction
SLAM-Based Reconstruction is a 3D reconstruction framework that integrates simultaneous localization and mapping (SLAM) techniques to jointly estimate camera motion and scene geometry in real time, distinguishing itself from other reconstruction methods by its emphasis on incremental, online processing and pose consistency in unknown environments.
232
Publications
11.3K
Citations
864
Authors
288
Institutions
Publications per year
2017–2026
134
Parents
232
Parallel Tracking and Mapping on a camera phone
Georg Klein, David W. Murray · 2009 · 522 citations
Hauke Strasdat, J. M. M. Montiel, Andrew J. Davison · Image and Vision Computing · 2012 · 415 citations
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula et al. · 2024 · 331 citations
1–5 of 232
864
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Laboratoire d'Intégration des Systèmes et des Technologies, France
4 publications · 106 citations
4
h-index
3
h-index
1–5 of 864
288
ETH Zurich
Zurich, Switzerland
6 h-index
13 publications
512 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
10 publications
386 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
31 publications
1.3K citations

Imperial College London
London, United Kingdom
6 h-index
16 publications
1.7K citations

Southeast University
Nanjing, China
5 h-index
12 publications
482 citations
Wuhan University
Wuhan, China
5 h-index
17 publications
705 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
9 publications
1.2K citations
Australian Centre for Robotic Vision
Brisbane, Australia
4 h-index
12 publications
1.7K citations
1–8 of 288
9 publications · 422 citations
9
h-index
9 publications · 430 citations
9
h-index
8 publications · 600 citations
8
h-index
6 publications · 156 citations
6
h-index
5 publications · 210 citations
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